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Antioxidant Compound Extraction from Maqui ( Aristotelia chilensis [Mol] Stuntz) Berries: Optimization by Response Surface Methodology

View Article: PubMed Central

ABSTRACT

The optimum conditions for the antioxidant extraction from maqui berry were determined using a response surface methodology. A three level D-optimal design was used to investigate the effects of three independent variables namely, solvent type (methanol, acetone and ethanol), solvent concentration and extraction time over total antioxidant capacity by using the oxygen radical absorbance capacity (ORAC) method. The D-optimal design considered 42 experiments including 10 central point replicates. A second-order polynomial model showed that more than 89% of the variation is explained with a satisfactory prediction (78%). ORAC values are higher when acetone was used as a solvent at lower concentrations, and the extraction time range studied showed no significant influence on ORAC values. The optimal conditions for antioxidant extraction obtained were 29% of acetone for 159 min under agitation. From the results obtained it can be concluded that the given predictive model describes an antioxidant extraction process from maqui berry.

No MeSH data available.


Related in: MedlinePlus

Plot of observed values vs. predicted values. Response values are power transformed y2. R2 = 0.8992.
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antioxidants-06-00010-f001: Plot of observed values vs. predicted values. Response values are power transformed y2. R2 = 0.8992.

Mentions: The parameters that evaluate the selected model are described in Table 4. The goodness of fitted model was checked by the coefficient of determination (R2) which resulted 0.8992 indicating that the obtained model can explain 89.92% of variation in the antioxidant capacity value. It also shows a good prediction, where a goodness of prediction Q2 = 0.7801 was obtained. Therefore, the model is sufficiently satisfactory to explain and predict the variation in the data based on capacity antioxidant of maqui berry (see Figure 1). The model validity value 0.5800 provides information on the lack of fit and indicates that a correct model type has been chosen. The value 0.8698 for reproducibility indicates a low pure error and a satisfactory experimental procedure represented in a small variation in the replicates [17]. The ANOVA for antioxidant capacity response y indicates that the significance of the regression model is satisfactory (p ≤ 0.05) for this response. Table 5 shows that F-value was 22.706 and p-value of 0.000 imply that the model is significant. The insignificance (p > 0.05) on lack of fit for the model implies that this regression model is acceptable.


Antioxidant Compound Extraction from Maqui ( Aristotelia chilensis [Mol] Stuntz) Berries: Optimization by Response Surface Methodology
Plot of observed values vs. predicted values. Response values are power transformed y2. R2 = 0.8992.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5384173&req=5

antioxidants-06-00010-f001: Plot of observed values vs. predicted values. Response values are power transformed y2. R2 = 0.8992.
Mentions: The parameters that evaluate the selected model are described in Table 4. The goodness of fitted model was checked by the coefficient of determination (R2) which resulted 0.8992 indicating that the obtained model can explain 89.92% of variation in the antioxidant capacity value. It also shows a good prediction, where a goodness of prediction Q2 = 0.7801 was obtained. Therefore, the model is sufficiently satisfactory to explain and predict the variation in the data based on capacity antioxidant of maqui berry (see Figure 1). The model validity value 0.5800 provides information on the lack of fit and indicates that a correct model type has been chosen. The value 0.8698 for reproducibility indicates a low pure error and a satisfactory experimental procedure represented in a small variation in the replicates [17]. The ANOVA for antioxidant capacity response y indicates that the significance of the regression model is satisfactory (p ≤ 0.05) for this response. Table 5 shows that F-value was 22.706 and p-value of 0.000 imply that the model is significant. The insignificance (p > 0.05) on lack of fit for the model implies that this regression model is acceptable.

View Article: PubMed Central

ABSTRACT

The optimum conditions for the antioxidant extraction from maqui berry were determined using a response surface methodology. A three level D-optimal design was used to investigate the effects of three independent variables namely, solvent type (methanol, acetone and ethanol), solvent concentration and extraction time over total antioxidant capacity by using the oxygen radical absorbance capacity (ORAC) method. The D-optimal design considered 42 experiments including 10 central point replicates. A second-order polynomial model showed that more than 89% of the variation is explained with a satisfactory prediction (78%). ORAC values are higher when acetone was used as a solvent at lower concentrations, and the extraction time range studied showed no significant influence on ORAC values. The optimal conditions for antioxidant extraction obtained were 29% of acetone for 159 min under agitation. From the results obtained it can be concluded that the given predictive model describes an antioxidant extraction process from maqui berry.

No MeSH data available.


Related in: MedlinePlus